Current frontier AI models struggle with real enterprise data work: the best model scores 95+ on only 35% of tasks, revealing a major gap between text-to-SQL benchmarks and actual data agent capabilities needed for production systems.
Argo-Bench is an evaluation framework with 210 realistic data science tasks that test AI agents on enterprise-scale workflows.